Students collected nutrition information from the nutrition labels of cereals in one supermarket.
Observations: 77
Variables: 15
$ name <chr> "100%_Bran", "100%_Natural_Bran", "All-Bran", "All-Bran…
$ mfr <chr> "N", "Q", "K", "K", "R", "G", "K", "G", "R", "P", "Q", …
$ calories <dbl> 70, 120, 70, 50, 110, 110, 110, 130, 90, 90, 120, 110, …
$ sugars <dbl> 6, 8, 5, 0, 8, 10, 14, 8, 6, 5, 12, 1, 9, 7, 13, 3, 2, …
$ carbo <dbl> 5.0, 8.0, 7.0, 8.0, 14.0, 10.5, 11.0, 18.0, 15.0, 13.0,…
$ protein <dbl> 4, 3, 4, 4, 2, 2, 2, 3, 2, 3, 1, 6, 1, 3, 1, 2, 2, 1, 1…
$ fat <dbl> 1, 5, 1, 0, 2, 2, 0, 2, 1, 0, 2, 2, 3, 2, 1, 0, 0, 0, 1…
$ sodium <dbl> 130, 15, 260, 140, 200, 180, 125, 210, 200, 210, 220, 2…
$ fiber <dbl> 10.0, 2.0, 9.0, 14.0, 1.0, 1.5, 1.0, 2.0, 4.0, 5.0, 0.0…
$ potass <dbl> 280, 135, 320, 330, -1, 70, 30, 100, 125, 190, 35, 105,…
$ shelf <dbl> 3, 3, 3, 3, 3, 1, 2, 3, 1, 3, 2, 1, 2, 3, 2, 1, 1, 2, 2…
$ Middle <chr> "No", "No", "No", "No", "No", "No", "Yes", "No", "No", …
$ shelf_1 <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0…
$ shelf_2 <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1…
$ shelf_3 <dbl> 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0…# A tibble: 6 x 15
name mfr calories sugars carbo protein fat sodium fiber potass shelf
<chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 100%… N 70 6 5 4 1 130 10 280 3
2 100%… Q 120 8 8 3 5 15 2 135 3
3 All-… K 70 5 7 4 1 260 9 320 3
4 All-… K 50 0 8 4 0 140 14 330 3
5 Almo… R 110 8 14 2 2 200 1 -1 3
6 Appl… G 110 10 10.5 2 2 180 1.5 70 1
# … with 4 more variables: Middle <chr>, shelf_1 <dbl>, shelf_2 <dbl>,
# shelf_3 <dbl>